Scripting Collaborative Learning in Agent-Based Systems
The chapter discusses an agent-based perspective of scripting for CSCL environments. It presents two approaches for supporting scripting collaborative learning in agent-based systems: (1) on the macro-level of collaborative learning, where agents may support the organization of the learning process through facilitating group configuration and task selection; and (2) on the micro-level of collaborative learning, where agents may support awareness and coordination of activities. Both approaches are presented for two kinds of do-mains: (i) pedagogically structured and (ii) not pedagogically structured do-mains. For both cases, the types of support on the macro and micro levels are examined.
KeywordsCollaborative Learning Task Assignment Software Agent User Agent Proximal Development
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- Ayala, G., & Yano, Y. (1995). GRACILE: A Framework for Collaborative Intelligent Learning Environments. Journal of the Japanese Society of Artificial Intelligence, 10(6), 156–170.Google Scholar
- Ayala, G., & Yano, Y. (1996a). Learner Models for Supporting Awareness and Collaboration in a CSCL Environment. In C. Frasson, G. Gauthier, & A. Lesgold (Eds.), Intelligent Tutoring Systems, Lecture Notes in Computer Science 1086, (pp. 158–167). Berlin: Springer.Google Scholar
- Ayala, G., & Yano, Y. (1996b). Intelligent Agents to Support the Effective Collaboration in a CSCL Environment. In P. Carlson & F. Makedon (Eds.), Proceedings of the ED-TELECOM 96 World Conference on Educational Communications (pp. 19–24). Boston, MA: AACE.Google Scholar
- Ayala, G., & Yano, Y. (1997). Evaluating the performance of agents that support the effective collaboration of learners in a CSCL environment. IEICE Transactions on Information Systems, ES0-D(2), 125–134.Google Scholar
- Ayala, G. (2003). Towards lifelong learning environments: Agents supporting the collaborative construction of knowledge in virtual communities. Designing for Change in Networked Learning Environments: Proceedings of the International Conference on Computer Support for Collaborative Learning CSCL 2003 (pp. 141–148). Bergen, Norway.Google Scholar
- Ayala, G., & Paredes, R. (2003). Learner model servers: Personalization of web based educational applications based on digital collections. ED-MEDIA 2003, World Conference on Educational Multimedia, Hypermedia & Telecommunications [CD-ROM]. Honolulu, USA: AACE.Google Scholar
- Dillenbourg, P. (2002). Over-scripting CSCL: The risks of blending collaborative learning with instructional design. In P. A. Kirschner (Ed.) Three Worlds of CSCL. Can we support CSCL (pp. 61–91). Heerlen: Open Universiteit Nederland.Google Scholar
- Kollar, I., & Fischer, F. (2004). Internal and external scripts in web-based collaborative inquiry learning. In P. Gerjets, P. A. Kirschner, J. Elen, & R. Joiner (Eds.), Instructional design for effective and enjoyable computer-supported learning. Proceedings of the first joint meeting of the EARL1 SIGs “Instructional Design” and “Learning and Instruction with Computers” (pp. 37–47) [CD-ROM]. Tübingen: Knowledge Media Research Center.Google Scholar
- Morabito, J., Sack, I., & Bhate, A. (1999). Organization modeling: Innovative architectures for the 21 st century. Upper Sadie River, NJ: Prentice Hall PTR.Google Scholar
- Nonaka, I., & Takeuchi, H. (1995). The Knowledge Creating Company. Oxford: Oxford University Press.Google Scholar
- Vygotsky, L. S. (1978). Mind in society: The Development of higher psychological processes. London: Harvard University Press.Google Scholar
- Wolf, K. D. (1996). Analyzing the process of learning in a web based community of learners. In P. Carlson & F. Makedon (Eds.), Proceedings of the ED-TELECOM 96 World Conference on Educational Communications (pp. 337–342). Boston, MA: AACE.Google Scholar